POS auxiliary aviation image matching method

Abstract

The invention discloses a POS-aided method for matching aerial images, which comprises the following steps: firstly, utilizing an exterior orientation element obtained by the POS to construct a homonymous nucleofilament constraint equation and predict the initial parallax of an image; then, establishing an image pyramid according to the initial parallax and an approximate one-dimensional image correlation which carries out nucleofilament constraint layer by layer on the image of the pyramid; and finally adopting the matching of least-square images to confirm homonymous image points and pick mismatched points, thereby obtaining the homonymous image points of the images to be matched. The invention which adopts the POS-aided image matching method to automatically measure image points has the advantages that not only the application potential of the POS can be fully developed; but also the matching rate and the matching efficiency of automatically rotating points can be improved; and the problems that the rotating points of the images are so difficult to be matched that the rotating points are required to be measured manually and interactively are solved, for example, the rotational angles of certain images are too large, the image texture is not obvious, and the topographic relief is bigger.

Description

technical field [0001] The invention relates to a POS-assisted aerial image matching method, which belongs to the field of photogrammetry and remote sensing. Background technique [0002] At the end of the 1990s, aerial remote sensing began to use high-precision airborne positioning and orientation system (POS), which measured six orientation parameters of the image while acquiring the image, providing a new method for obtaining the external orientation elements of the image. , also brings new opportunities and challenges to simplify aerial photogrammetry operations. At present, the application research on POS mainly focuses on the direct ground target positioning and the up-down disparity analysis of the reconstructed stereo model. The research shows that the image orientation parameters obtained by using the POS system can meet the accuracy requirements of digital orthophoto map production, but using the reconstructed three-dimensional model to implement the placement ele...

AI Technical Summary

Problems solved by technology

Nowadays, the internal orientation and relative orientation of images have been fully automated using image matching technology, but there are still some difficulties in the automatic processing of absolute orientation.

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